KDnuggets

FEBRUARY 5, 2025

Creating diagrams doesnt have to be hard! With just a simple text description, LLMs can help you generate flowcharts and diagrams in no time.

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Striim

FEBRUARY 5, 2025

AI thrives on real-time data. In a world where businesses generate massive volumes of data every second, success hinges on the ability to process, analyze, and act on that data instantly. Change Data Capture (CDC) and streaming technologies form the foundation for AI-driven analytics, ensuring data is always fresh, accurate, and actionable. Together, CDC and streaming empower businesses to: Supercharge AI models with real-time data: Provide AI with up-to-the-second insights to improve prediction

Data 52

Data Technology Process Systems 52

databricks

FEBRUARY 5, 2025

Were thrilled to announce the General Availability (GA) of Databricks Clean Rooms on AWS and Azure, a significant step forward in enabling secure.

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AWS 103

KDnuggets

FEBRUARY 5, 2025

Let's explore some of Python's quirks with helpful code examples.

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Python Coding 82

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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

Data Pipeline

databricks

FEBRUARY 5, 2025

Registering new products can be a complex and time-consuming process for both suppliers and retailers. Retailers often report issues with incomplete, inaccurate, or.

Retail 97

Retail Process 97

Confluent

FEBRUARY 5, 2025

Agentic AI autonomously interacts with multiple systems to achieve a desired outcome. Its users need to think about model logic; data security, quality and relevancy, and manpower.

Data Security 59

Data Security Systems IT Data 59

Confluent

FEBRUARY 5, 2025

Explore Confluents Ultimate Data Streaming Guide. Learn how to scale data streaming, become a Data Streaming Organization, and drive innovation with real-world use cases.

Data 52

Data 52

The Pragmatic Engineer

FEBRUARY 5, 2025

The Pragmatic Engineer's YouTube channel crossed 100K subscribers. Celebrating with a giveaway of 100 books and newsletter subs: 10x signed physical books (The Software Engineer’s Guidebook [in English or German - your choice!], Building Mobile Apps at Scale; winners get both; shipping is on me) 90x e-books or audiobooks for The Software Engineer’s Guidebook [your choice which one] 10x 1-year paid subscriptions for the The Pragmatic Engineer Newsletter 90x 3-month paid subscri

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Engineering Software Engineer Software Engineering Building 130

Engineering at Meta

FEBRUARY 5, 2025

WHAT IT IS Metas Automated Compliance Hardening (ACH) tool is a system for mutation-guided, LLM-based test generation. ACH hardens platforms against regressions by generating undetected faults (mutants) in source code that are specific to a given area of concern and using those same mutants to generate tests. When applied to privacy, for example, ACH automates the process of searching for privacy-related faults and preventing them from entering our systems in the future, ultimately hardening our

Software Engineer 115

Software Engineer Software Engineering Programming Language Coding 115

Snowflake

FEBRUARY 5, 2025

For years, companies have operated under the prevailing notion that AI is reserved only for the corporate giants the ones with the resources to make it work for them. But as technology speeds forward, organizations of all sizes are realizing that generative AI isnt just aspirational; its accessible and applicable now. With Snowflakes easy-to-use, unified AI and data platform, businesses are removing the manual drudgery, bottlenecks and error-prone labor that stymie productivity, and they are us

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Raw Data Software Engineer Software Engineering Project 97

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Data

Precisely

FEBRUARY 5, 2025

Diversity is a driver of innovation, creativity, and overall business success, and at Precisely, building and maintaining a diverse workplace is a top priority. To achieve this, Precisely prioritizes programs that support diverse groups. One of the groups is the Precisely Women in Technology (PWIT) network, which brings women in different areas of the organization together to learn from and support one another in various ways.

Technology 59

Technology Programming Engineering Project 59

WeCloudData

FEBRUARY 5, 2025

Artificial intelligence is revolutionizing healthcare through technologies that can predict, understand, learn, and act. AI and machine learning are being integrated into patient rooms, diagnostic testing, chatbots, and research studies to improve innovation, discovery and patient care. AI use cases in healthcare are growing increasingly With WeCloudData Lets explore and discuss the various modern applications […] The post AI Use Case Series: Healthcare appeared first on WeCloudData.

Healthcare 52

Healthcare Machine Learning Technology Data Science 52

Booking.com Engineering

FEBRUARY 5, 2025

Okay, yes, the title is a bit clickbaitybut stick with me because this is a real story about SRE work, cost optimization, Golang, and opensource. An Introduction andContext I apologize for the clickbait title, but I promise this is a real story that gives you a glimpse into what SREs do daily at Booking.com. Its based on a talk I gave at one of our internal engineering meetups, adapted for a blog format.

Coding 49

Coding Cloud AWS Bytes 49

Tweag

FEBRUARY 5, 2025

Common engineering scenario: There is a large legacy codebase out there which is known to have a few pervasive problems that everyone wants to get rid of. But nobody understands all the details of the codebase, and few are willing to risk breaking the artifact in a long and costly surgery. This post is an experience report on one such refactoring of Liquid Haskell (LH), a tool to verify Haskell programs.

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Programming Coding IT Designing 67

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

Systems